About the Program
Data Science is not just a buzzword, it is the backbone of innovation in the 21st century. From powering personalized recommendations on streaming platforms to enabling real-time fraud detection in banking, Data Science is transforming industries and redefining how businesses operate. It combines mathematics, statistics, programming, and business intelligence to uncover patterns, predict outcomes, and drive smarter decisions.
With the ever-growing volume of data generated every second, there is a huge demand for skilled data professionals who can make sense of this information and turn it into actionable insights. Our Data Science program is designed to bridge this gap by offering a market-relevant curriculum that includes data analysis, machine learning, visualization tools, and real-time project implementation. Learners gain hands-on experience with industry-standard tools like Python, Pandas, Scikit-learn, TensorFlow, and Power BI.
Whether you’re a beginner or a professional aiming to upskill, this program provides a structured path to mastering data science concepts and building a strong portfolio. With expert mentorship, real-world case studies, and personalized training, you'll be prepared to take on roles like Data Analyst, Machine Learning Engineer, Business Intelligence Developer, or Data Scientist. Embark on a career where your skills directly impact decision-making and innovation.
Program Overview
Live Online classes with lifetime recording
Session taken by industrial expert
24/7 Mentor Support
Placement support
Portfolio creation
Mock interview with HR
Resume analyze
Test series for practice
Market Overview
The average salary for a Data Scientist in India ranges from ₹10 to ₹23 Lakh Per Annum (LPA), according to Glassdoor .
Entry-level:₹10L - ₹15L/yr
3 years Experience:₹4.5L - ₹26L/yr
4 years experience:₹5L - ₹30L/yr
5 years experience:₹5.9L - ₹34L/yr
6 years experience:₹6.3L - ₹40L/yr
Senior Data Scientists:₹19L - ₹37L/yr
Lead Data Scientists:₹20L - ₹37L/yr
Who Should Enroll?
Students and Recent Graduates
- Build a solid foundation in data science tools and techniques to enter the job market.
Working Professionals Looking to Upskill
- Transition into data science roles or enhance existing skills for more analytical responsibilities.
Career Changers
- Data science is interdisciplinary and applicable across industries with the right training, switching is possible.
Entrepreneurs & Startup Founders
- Gain insights on how to make data-driven business decisions, optimize operations, and identify new market opportunities.
Tech Enthusiasts
- Ideal for learners who are curious about AI, analytics, machine learning, and modern data-driven applications.
Eligible Roles
Data Analytics Job Roles
- Data Analyst
- Business Analyst
- Data Visualization Specialist
- Reporting Analyst
- Quantitative Analyst (Quant)
- Marketing Analyst
- Operations Analyst
- Product Analyst
- Financial Analyst (Data-focused)
- Customer Insights Analyst
- Data Analytics Consultant
- Risk Analyst
- Fraud Analyst
- Healthcare Data Analyst
- Geospatial Data Analyst
Machine Learning Job Roles
- Machine Learning Engineer
- Data Scientist
- AI/ML Research Scientist
- Applied Machine Learning Scientist
- ML Ops Engineer
- NLP Engineer
- Computer Vision Engineer
- Predictive Modeler
- Quantitative Researcher (ML-focused)
- Machine Learning Consultant
Deep Learning Job Roles
- Deep Learning Engineer
- AI Research Scientist
- Computer Vision Specialist
- Speech Recognition Engineer
- Autonomous Systems Engineer
- Robotics Engineer
- Research Engineer – Deep Learning
- Deep Learning Infrastructure Engineer
- Medical Imaging Analyst
- Generative AI Engineer
Course Curriculum
Data Analytics
- Topics: Types of Analytics, AI/ML Roles
- Techniques: Dataset exploration
- Tools: Excel, Google Sheets, Colab
- Power Query – Excel
- Formula & Pivot Table – Excel
- Dashboard & Charts – Excel
- VBA Macros Automation – Excel
- Statistics
- Permutation & Combination, Probability
- Population and Sampling
- Probability Distribution
- Hypothesis Testing
- Introduction to Tableau
- Analyze & Process Data using Tableau
- Creating Dashboards on Tableau
- Introduction to Power BI
- Dashboards on Power BI & PowerBI.com
- Exploring Python Notebooks & Installing Libraries
- Basic Python Programming for Data Analytics
- Numerical Python (NumPy)
- Pandas – Data Manipulation
- Matplotlib – Data Visualization
- Seaborn – Advanced Data Visualization
- Kaggle – Dataset, Notebook & Competitions
- MySQL Database
- SQL with Python
- NoSQL – MongoDB
Machine Learning
- Topics: Differences, Real-World Use
- Techniques: ML Workflow
- Tools: Python
- Advertisement Sale Prediction → Logistic Regression
- Salary Estimation → K-Nearest Neighbor (KNN)
- Character Recognition → Support Vector Machine (SVM)
- Titanic Survival Prediction → Naive Bayes
- Leaf Detection → Decision Tree Classifier
- Handwritten Digit Recognition → Random Forest Classifier
- Evaluating Classification Model Performance
- Model Selection for Breast Cancer Classification Regression
- House Price Prediction → Linear Regression (Single Variable)
- Exam Mark Prediction → Linear Regression (Multiple Variables)
- Previous Salary Prediction for New Employee → Polynomial Regression
- Stock Price Prediction → Support Vector Regression
- Height Prediction from Age → Decision Tree
- Car Price Prediction → Random Forest Regression
- Heart Disease Prediction → Naive Bayes (Classification)
- Evaluating Regression Model Performance
- Regression Model Selection for Engine Energy Prediction
- Identifying Customer Spending Patterns → K-Means Clustering
- Customer Spending Analysis → Hierarchical Clustering
- Leaf Types Data Visualization → Principal Component Analysis (PCA)
- Finding Similar Movies by Ranking → Singular Value Decomposition (SVD)
- Market Basket Analysis → Apriori Algorithm
- Web Ads Click-Through Rate Optimization → Upper Bound Confidence (UCB)
- AI Snake Game → Reinforcement Learning
- Sentiment Analysis → Natural Language Processing
- Breast Cancer Tumor Prediction → XGBoost
- Pima Indians Diabetes Classification → XGBoost / Classification Models
- COVID-19 Detection → Convolutional Neural Network (CNN)
Deep Learning
- Overview of the Course - Introduction to Artificial Intelligence & Its Applications
- Hands-on - Creating Your Own Chatbot using DialogFlow
- Introduction to Python - Exploring Python Platforms - Installing & Working with Python IDLE
- Introduction to Computer Vision & Its Applications - Overview of CV Libraries & Installation - Basic Programs in CV
- Moving Object Detection using OpenCV
- Advanced Face Detection & Tracking
- Object Tracking Based on Color with OpenCV
- Face Recognition with OpenCV
- Recognizing Emotions from Faces
- Introduction to Deep Learning - Neurons & Activation Functions - Installing DL Libraries
- Deep Learning Algorithms - Neural Network Design
- Neural Network Design – Diabetes Prediction
- Real-time Object Recognition using Pre-trained Models
- Image Classification using Convolutional Neural Networks (CNN)
- Hand Gesture Recognition with Deep Learning
- Detecting Plant Leaf Diseases using Deep Learning
- Character Recognition with CNN & PyQt5 GUI
- Label Reading using Optical Character Recognition (OCR)
- Attendance System with Face Recognition using DL & ML
- Vehicle Detection & Tracking
- License Plate Recognition System
- Drowsiness Detection & Driver Safety
- Road Sign Recognition for Autonomous Vehicles
- NLP Essentials
- Generating Titles from Text using NLP
- Analyzing Speech & Emotions using CNN + NLP
- Likely visualization - Introduction to Matplotlib Concepts
Master Tools Used in Top Companies
Learn the most in-demand tools used by industry professionals.
Excel
Google Sheets
Colab
Tableau
Power BI
MySQL
MongoDB
Python
Numpy
Excel
Google Sheets
Colab
Tableau
Power BI
MySQL
MongoDB
Python
Numpy
Pandas
MatPlotlib
Seaborn
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Scipy
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Scikit-learn
Statsmodels
Jupyter Notebook
TensorFlow
Keras
Pandas
MatPlotlib
Seaborn
Scipy
Scikit-learn
Statsmodels
Jupyter Notebook
TensorFlow
Keras
OpenCV
XGBoost
NLTK
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AI
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NLP
Machine Learning
Deep Learning
Computer Vision
Supervised Learning
OpenCV
XGBoost
NLTK
AI
NLP
Machine Learning
Deep Learning
Computer Vision
Supervised Learning
Sample Projects
Healthcare Predictive Analytics using Deep Learning
Real-Time Fraud Detection System
Autonomous Driving Behavior Prediction
Multi-Modal Emotion Recognition
Explainable AI System for Loan Approval
AI-Based Financial Portfolio Optimization
Resume Screening System
Learning Recommendation System
Fake Review Detection
Medical Image Diagnosis
Customer Churn Prediction
Sales Forecasting
Credit Card Fraud Detection
Stock Price Prediction
Sentiment Analysis
House Price Prediction
Email Spam Detection
Customer Segmentation
Fake News Detection
Employee Attrition Prediction
Movie Recommendation System
Energy Consumption Prediction
Traffic Flow Prediction
Disease Prediction
Healthcare Predictive Analytics using Deep Learning
Real-Time Fraud Detection System
Autonomous Driving Behavior Prediction
Multi-Modal Emotion Recognition
Explainable AI System for Loan Approval
AI-Based Financial Portfolio Optimization
Resume Screening System
Learning Recommendation System
Fake Review Detection
Medical Image Diagnosis
Customer Churn Prediction
Sales Forecasting
Credit Card Fraud Detection
Stock Price Prediction
Sentiment Analysis
House Price Prediction
Email Spam Detection
Customer Segmentation
Fake News Detection
Employee Attrition Prediction
Movie Recommendation System
Energy Consumption Prediction
Traffic Flow Prediction
Disease Prediction
Career Progression Plan
Transform your skills into a successful career with our proven learning and placement process.
01. Registration and Screening Process
•Register with ₹5000 and attend the screening.
•If rejected, immediate refund of ₹5000.
•2 hrs demo class
•Assessment on classes
•360° resume analysis
02. Live Classes
•Join after selection by paying remaining fee.
•3 months (weekdays)
•5 months (weekends)
•Available in English or Tamil.
•Recordings + recruiter feedback included.
03. Practical Experience
•Minimum 10 real-world projects.
•Portfolio creation for showcasing skills.
•Mock interviews for job readiness.
04. Placement Support
•Placement assistance after course completion.
•Career guidance and job support.
•Continuous growth support.
01. Registration and Screening Process
•Register with ₹5000 and attend the screening.
•If rejected, immediate refund of ₹5000.
•2 hrs demo class
•Assessment on classes
•360° resume analysis
02. Live Classes
•Join after selection by paying remaining fee.
•3 months (weekdays)
•5 months (weekends)
•Available in English or Tamil.
•Recordings + recruiter feedback included.
03. Practical Experience
•Minimum 10 real-world projects.
•Portfolio creation for showcasing skills.
•Mock interviews for job readiness.
04. Placement Support
•Placement assistance after course completion.
•Career guidance and job support.
•Continuous growth support.
Simple & Transparent Pricing
No hidden costs. Pay only for what matters in your career journey.
Fee Breakdown
Registration Fee
₹5,000₹10,000
Tuition Fee
₹35,000₹45,000
Total Fee
₹40,000₹55,000
Terms & Conditions
Register with ₹5,000 (Non-Refundable)
Attend ZIA Initial Screening Process
Resume will be completely analyzed
Selected candidates join main classes
If we rejects your profile in screening process ₹ 5,000 is refundable.
Selected people will be moved to the regular classes and enrich your journey with us.